教師資料查詢 | 類別: 期刊論文 | 教師: 鄭啟斌CHI-BIN CHENG (瀏覽個人網頁)

標題:Using deep learning approach in flight exceedance event analysis
學年108
學期2
出版(發表)日期2020/07/01
作品名稱Using deep learning approach in flight exceedance event analysis
作品名稱(其他語言)
著者H.-J. Shyur; C.-B. Cheng; Y. Hsiao
單位
出版者
著錄名稱、卷期、頁數Journal of Information Science and Engineering, 37, 1405-1418.
摘要Causal analysis of flight exceedance events, e.g. hard-landing, is a key task for modern
airlines performing Flight Operation Quality Assurance (FOQA) programs. The main
objective of the program is to learn from experience: detect early signs of major
problems and correct them before accidents occur. It has been found that flare
operation would greatly influence the landing performance. According to the finding,
we proposed a deep learning approach to assist airlines performing causal analysis for
hard landing events. Experimental results confirm that compared with the other stateof-the-art techniques, the proposed approach provides a more reliable results. The
technique can be the basis of developing advanced models for further revealing the
relationships between pilot operations and flight exceedance events.
關鍵字
語言英文(美國)
ISSN
期刊性質國外
收錄於SCI;Scopus;
產學合作國內;
通訊作者H.-J. Shyur
審稿制度
國別中華民國
公開徵稿
出版型式,電子版
相關連結
SDGs
  • 產業創新與基礎設施
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